Enhanced recommendations for e-learning authoring tools based on a proactive context-aware recommender

Authoring tools are powerful systems in the area of e-Learning that make easier for teachers to create new learning objects by reusing or editing existing educational resources coming from learning repositories or content providers. However, due to the overwhelming number of resources these tools can access, sometimes it is difficult for teachers to find the most suitable resources taking into account their needs in terms of content (e.g. topic) or pedagogical aspects (e.g. target level associated to their students). Recommender systems can take an important role trying to mitigate this problem. In this paper we propose a new model to generate proactive context-aware recommendations on resources during the creation process of a new learning object that a teacher carries out by using an authoring tool. The common use cases covered by the model for having recommendations in online authoring tools and details about the recommender model itself are presented

Domain of application in context-aware recommender systems: a review

The purpose of this research is to provide an exhaustive overview of the existing literature on the domain of applications in recommender systems with their incorporated contextual information in order to provide insight and future directions to practitioners and researchers.We reviewed published journals and conference proceedings papers from 2010 to 2016.The review finds that multimedia and e-commerce are the most focused domains of applications and that contextual information can be grouped into static, spatial and temporal contexts

Android Mobile Application „One Click Tourism Advisor‟

Given paper discuss main objectives of “one click tourism advisor” Android mobile Application, which aims to assist tourist with their traveling by allowing user or traveler to enter their preferences (i.e. the content and the country they would like to visit, the preferred visit area they would like to be in that specific country , the budget they would like to spend ,the package they would like to pick and the type of transportation they would like to use ) the application is equipped with functions that take this information from the user and suggest them places accordingly . Furthermore this paper will discuss how it is going to be achieved .To support in depth preliminary studies and number of critical analysis have been performed

Android Mobile Application „One Click Tourism Advisor‟

Given paper discuss main objectives of “one click tourism advisor” Android mobile Application, which aims to assist tourist with their traveling by allowing user or traveler to enter their preferences (i.e. the content and the country they would like to visit, the preferred visit area they would like to be in that specific country , the budget they would like to spend ,the package they would like to pick and the type of transportation they would like to use ) the application is equipped with functions that take this information from the user and suggest them places accordingly . Furthermore this paper will discuss how it is going to be achieved .To support in depth preliminary studies and number of critical analysis have been performed

Turundusvõimalused klienditeekonna erinevatel etappidel Pärnu Jahtklubi restorani näitel

http://www.ester.ee/record=b4611294*es

Exploring context-sensitive collaborative augmented reality applications

In smart spaces limited amount of physical resources are available. Also, system should be able to offer relevant information according to user’s personal preferences. At the same time smart environments could serve many users with same requirement of relevancy and operate on limited resources. Sometimes it may not be possible to share resource in a way that respects all users without compromising collaboration. This thesis is focused on solving the problem of shared resource from the perspective of augmented reality. Selected standpoint is on mobile collaborative augmented reality and context-awareness. A small user study has been arranged as part of thesis to bring out information about user’s thoughts and emotions while using a simple prototype application. In addition, a small literature review about main concepts is conducted. There is a short analysis of some collaborative augmented reality applications presented based on recent literature. Results of the thesis show that even with small experiments it is possible to discover new information from users. Results also provide tentative answers to presented research questions. Main findings are that users have high expectations towards context-awareness and augmented reality technologies. They also expect applications to offer relevant, validated and also surprising information in each situation. This thesis has some evidence about suitability of augmented reality in context-aware applications that are targeted to support human-to human collaboration. With augmented reality it is possible to offer individual standpoints for users while they are inspecting limited, shared resources. Endorsement of user’s ability to monitor their environment is one challenge in large smart environments. Finally, software engineer can take user’s expectations into account when designing context-aware systems for smart environments. Also, developer could implement system that takes advantage of different human sensory modalities

A review of the role of sensors in mobile context-aware recommendation systems

Recommendation systems are specialized in offering suggestions about specific items of different types (e.g., books, movies, restaurants, and hotels) that could be interesting for the user. They have attracted considerable research attention due to their benefits and also their commercial interest. Particularly, in recent years, the concept of context-aware recommendation system has appeared to emphasize the importance of considering the context of the situations in which the user is involved in order to provide more accurate recommendations. The detection of the context requires the use of sensors of different types, which measure different context variables. Despite the relevant role played by sensors in the development of context-aware recommendation systems, sensors and recommendation approaches are two fields usually studied independently. In this paper, we provide a survey on the use of sensors for recommendation systems. Our contribution can be seen from a double perspective. On the one hand, we overview existing techniques used to detect context factors that could be relevant for recommendation. On the other hand, we illustrate the interest of sensors by considering different recommendation use cases and scenarios